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Computer Vision Engineer Jobs in New York (NOW HIRING)

Role & Mission This VIE is Alta Ares' software engineering presence in the United States -- a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the ... Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early ...

Measurements Engineer II

Manhattan, NY · On-site

$100 - $140/hr

Required Experience/Skills * 3+ years of experience in Computer vision system development (optics ... Microsoft Visual Studio programming (C# and Python strongly preferred) * Experience with machine ...

About the role As a Solutions Engineer , you'll turn complex computer vision problems into production systems built on YOLO. You'll lead technical discovery, design architectures, build benchmarks ...

Integrate Azure OpenAI and Computer Vision services into production applications * Deploy and ... Hands-on experience with Azure DevOps, including pipelines, repos, and release management * Solid ...

Integrate Azure OpenAI and Computer Vision services into production applications * Deploy and ... Hands-on experience with Azure DevOps, including pipelines, repos, and release management * Solid ...

... computer vision) on integration with their lower-level pipelines Qualifications : Required : • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience • 4+ ...

AI/ML Engineer

Manhattan, NY · On-site

$90 - $120/hr

Train and fine-tune NLP and computer vision models. Collaborate with developers to integrate AI into our SaaS platform. Research new AI trends and enhance existing models. Requirements Experience ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Showing results 41-60

Computer Vision Engineer information

See New York salary details

$53.1K

$132.9K

$150.4K

How much do computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer vision engineer in New York is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in New York?

The most popular types of Computer Vision Engineer jobs in New York are:

What are popular job titles related to Computer Vision Engineer jobs in New York?

For Computer Vision Engineer jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Computer Vision Engineer jobs?

Cities in New York with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Software Engineer -- VIE USA

Alta Ares

New York, NY • Remote

Full-time

Re-posted 8 days ago


Job description

About Alta Ares


Alta Ares is an air defense Neoprime. We build AI-guided interceptors to counter drones and cruise missiles, along with the software platform that powers them.

Our customers are NATO-aligned militaries and defense institutions, and our systems are regularly deployed during live exercises and operational demonstrations across Europe, the Middle East, and Asia.

Founded in 2024, we have grown to 90 people, raised over $60M, and increased revenue 40× this year. We are now entering a new phase of international expansion, industrial scaling, fundraising, and product development.

Role & Mission

This VIE is Alta Ares' software engineering presence in the United States — a critical market where the company is actively developing its commercial and technical footprint. Based in New York City alongside the GM North America, you will contribute directly to Alta Ares' core software development while serving as the technical bridge between the US market and the Engineering team in Paris.

You will work on real product features — not internal tooling or peripheral tasks. You will contribute to the AI, computer vision, and embedded software stack that underpins Alta Ares' ISR and C-UAS platforms, while gaining exposure to the US defence tech ecosystem and working alongside some of the most ambitious engineers in European deeptech.

1. Software Development & Product Contribution

  • Contribute to the development of Alta Ares' core software stack: real-time AI inference, computer vision pipelines, sensor fusion, and/or GCS software

  • Write clean, well-tested, production-grade code in Python and/or C++ across backend, embedded, or AI/ML layers depending on your profile

  • Participate in code reviews, architectural discussions, and sprint planning with the Engineering team in Paris

  • Develop and maintain unit tests, integration tests, and CI/CD pipelines

  • Contribute to the improvement of internal development tooling and engineering practices

2. US Market Technical Support

  • Provide technical support for client demonstrations, proof-of-concept deployments, and field activities in the US

  • Assist the GM North America in preparing technical materials: capability decks, architecture briefs, and demo environments

  • Adapt or configure software builds for US client requirements and operational environments

  • Participate in technical meetings with US defence clients, partners, and primes as the engineering representative on the ground

3. Paris–NYC Engineering Coordination

  • Serve as the technical bridge between the NYC office and the Engineering team in Paris

  • Ensure smooth knowledge transfer, sprint alignment, and technical documentation across time zones

  • Contribute to the adaptation of Alta Ares' products to US-specific requirements: interface standards, operational protocols, and potential ITAR compliance considerations

  • Relay US market and client technical feedback into the product roadmap discussions with CTO and Engineering leads

Candidate Profile
  • 0–3 years of experience — open to recent engineering graduates and early-career software engineers

  • Currently holding or recently completing a degree in computer science, software engineering, or a related technical field from a top-tier institution

  • Solid foundations in Python and/or C++ — you write clean, readable, maintainable code

  • Genuine interest in AI, computer vision, real-time systems, or embedded software

  • Prior exposure to defence, aerospace, robotics, or deeptech is a strong plus

  • English fluency — mandatory: working language in NYC and with US clients

  • French fluency — mandatory: Engineering team, codebase, and technical documentation are in French and English

  • Proactive, autonomous, and comfortable operating in a lean, fast-moving startup environment

  • Curious and collaborative: you ask good questions, learn fast, and work effectively across time zones

VIE Eligibility: French or EU nationality — mandatory. Aged 18 to 28 at mission start. No prior VIE with the same company